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Generative Ai Developer Jobs in Plano, TX (NOW HIRING)

Java AI Developer

Irving, TX ยท On-site

$49 - $63.50/hr

Integrate Generative AI capabilities into existing systems and develop new AI-powered applications. * Be a liaison between development manager and the scrum team. * Coach/mentor team, eliminate the ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

AI Engineer

Dallas, TX ยท On-site

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Sr Agentic AI Engineer

Plano, TX ยท On-site

$117K - $155K/yr

... DevOps: Git, CI/CD, Docker, Kubernetes, Cloud Deployment Preferred: RAG, Vector Databases, Embeddings, Semantic Search, AI Observability Key Competencies * Agentic AI Engineering * Generative AI ...

AI Engineer

Dallas, TX ยท On-site

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

Senior Lead AI Developer

Irving, TX ยท Remote

$56 - $60/hr

Senior Lead AI Developer. Location: Remote (U.S.). Employment Type: Contract (W2 through ZipStaff ... Design and implement Generative AI, Machine Learning, automation, and complex agentic workflow ...

Senior AI Developer

Southlake, TX ยท On-site

$81.90 - $91/hr

Lead the integration and application of Generative AI coding assistants throughout the System ... Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of ...

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation ...

Showing results 41-60

Generative Ai Developer information

See Plano, TX salary details

$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai developer in Plano, TX is $43.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $52.45 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Plano, TX?

For Generative Ai Developer jobs in Plano, TX, the most frequently searched job titles are:

What cities near Plano, TX are hiring for Generative Ai Developer jobs?

Cities near Plano, TX with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Plano, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $90,157 per year, or $43.3 per hour.

Generative AI Engineer - Irving, TX (Fulltime, Onsite - Only Local)

Northern Base

Irving, TX โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Generative AI Engineer
Irving, TX (Onsite, Only local)
Fulltime
 
 
Must-Have
• Programming languages: Python (proficient) with major ML libraries
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly
• Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
• Data wrangling & manipulation: SQL, data cleaning, feature engineering
• Hyperscalers : AWS, Azure, or GCP experience a plus
 
Good-to-Have
• On prem and cloud development projects with CI/CD Experience
 
Key Expectations from the Role 
1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development